Technical Program

MA-PG: Image Classification and Applications I

Session Type: Poster
Time: Monday, September 18, 10:30 - 12:00
Location: Poster Area G
Session Chair: Xilin Chen, ICT, Chinese Academy of Sciences
 
MA-PG.1: AN ACCURATE SALIENCY PREDICTION METHOD BASED ON GENERATIVE ADVERSARIAL NETWORKS
         Bing Yan; Tsinghua University
         Haoqian Wang; Tsinghua University
         Xingzheng Wang; Tsinghua University
         Yongbing Zhang; Tsinghua University
 
MA-PG.2: TAD16K: AN ENHANCED BENCHMARK FOR AUTONOMOUS DRIVING
         Yuming Li; Tencent
         Jue Wang; Tencent
         Tengfei Xing; Tencent
         Tianlu Liu; Tencent
         Chengjun Li; Tencent
         Kuifeng Su; Tencent
 
MA-PG.3: GENERALIZED POOLING PYRAMID WITH HIERARCHICAL DICTIONARY SPARSE CODING FOR EVENT AND OBJECT RECOGNITION
         Shuai Chen; Beijing Institute of Technology
         Bo Ma; Beijing Institute of Technology
         Pei Luo; Beijing Institute of Technology
 
MA-PG.4: POLSAR DATA ONLINE CLASSIFICATION BASED ON MULTI-VIEW LEARNING
         Xiangli Nie; Chinese Academy of Sciences
         Shuguang Ding; Chinese Academy of Sciences
         Bo Zhang; Chinese Academy of Sciences
         Hong Qiao; Chinese Academy of Sciences
         Xiayuan Huang; Chinese Academy of Sciences
 
MA-PG.5: RECOGNITION OF PATTERNS IN VECTOR FIELDS BY GAUSSIAN-HERMITE INVARIANTS
         Bo Yang; Northwestern Polytechnical University
         Jitka Kostková; Institute of Information Theory and Automation
         Jan Flusser; Institute of Information Theory and Automation
         Tomáš Suk; Institute of Information Theory and Automation
         Roxana Bujack; Los Alamos National Laboratory
 
MA-PG.6: HAND GESTURE RECOGNITION USING A SKELETON-BASED FEATURE REPRESENTATION WITH A RANDOM REGRESSION FOREST
         Shaun Canavan; Binghamton University
         Walter Keyes; Binghamton University
         Ryan Mccormick; Binghamton University
         Julie Kunnumpurath; Binghamton University
         Tanner Hoelzel; Binghamton University
         Lijun Yin; Binghamton University
 
MA-PG.7: RANKING VIDEO SEGMENTS WITH LSTM AND DETERMINANTAL POINT PROCESSES
         Juan Liu; Oregon State University
         Zhengyang Wu; Magic Leap
         Fuxin Li; Oregon State University
 
MA-PG.8: LEARNING-BASED TONE MAPPING OPERATOR FOR IMAGE MATCHING
         Aakanksha Rana; Télécom ParisTech
         Giuseppe Valenzise; CentraleSupélec
         Frederic Dufaux; CentraleSupélec
 
MA-PG.9: AUTOMATIC ESTIMATION OF DETERIORATION LEVEL ON TRANSMISSION TOWERS VIA DEEP EXTREME LEARNING MACHINE BASED ON LOCAL RECEPTIVE FIELD
         Keisuke Maeda; Hokkaido University
         Sho Takahashi; Hokkaido University
         Takahiro Ogawa; Hokkaido University
         Miki Haseyama; Hokkaido University
 
MA-PG.10: LEARNING TO SEGMENT ON TINY DATASETS: A NEW SHAPE MODEL
         Maxime Tremblay; Université Laval
         André Zaccarin; Université Laval